Additive mixed effect model for recurrent gap time data

Gap times between recurrent events are often of primary interest in medical and observational studies. The additive hazards model, focusing on risk differences rather than risk ratios, has been widely used in practice. However, the marginal additive hazards model does not take the dependence among gap times into account. In this paper, we propose an additive mixed effect model to analyze gap time data, and the proposed model includes a subject-specific random effect to account for the dependence among the gap times. Estimating equation approaches are developed for parameter estimation, and the asymptotic properties of the resulting estimators are established. In addition, some graphical and numerical procedures are presented for model checking. The finite sample behavior of the proposed methods is evaluated through simulation studies, and an application to a data set from a clinic study on chronic granulomatous disease is provided.     

大学英语小组活动中的群体动力学机制

在大学英语课堂教学中,小组活动由于具有能促进学生之间的互动等优点而为广大外语教学者广泛采用.但是,小组作为一个群体,其个体包含不同的变量,在活动过程中这些变量相互影响相互作用.群体动力学研究的正是群体中的个体之间的相互作用和相互影响对整个群体及各个体所产生的能量.为了优化大学英语课堂教学中的小组活动,促进学生的语言运用能力,本文运用群体动力学理论对外语课堂教学中的小组群体活动进行了分析和讨论.     

State Fragmentation: Toward a Theoretical Understanding of the Territorial Power of the State

In existing theories of revolution, the state is narrowly defined as an administrative entity, and state breakdown simply refers to the disintegration of a given political regime. But this narrow definition cannot deal with this question: Why, in a revolutionary situation, do some states become fragmented and others remain unified? I would therefore argue for the broadening of the concept of state breakdown to include the territorial power of the state and to treat the latter as a key analytical dimension in the study of state fragmentation. The dynamics of territorial state power involve the control of critical territories and valuable resources associated with the spatial position of a given state in the interstate system. A strong territorial state is able to maintain its organizational coerciveness and territorial integrity, whereas a weak territorial state is vulnerable to fragmentation. The overall state crisis derives from the accumulated effects of geopolitical strain by which territorial fragmentation unfolds.     

文同古体诗用韵研究

穷尽考察了文同古体诗作的用韵,基于其用韵分部与《广韵》分部的异同,可分文同古体诗为21部。文同古体诗基本上按照宋代通语押韵,但多少显得有些保守。     

湖南女界“五权宣言”的提出及引发的论争——以湖南《大公报》(1921—1922)为中心

湖南《大公报》是民国时期湖南"最有影响、声誉最好"的地方性民营大报,该报在1921—1922年间对湖南制宪自治运动予以高密度跟踪报道,尤其关注湖南女界联合会的行动,使女界"五权宣言"成为社会舆论的聚焦点。考察湖南女界"五权宣言"提出的历史语境、引发的论争及背后渗透的性别冲突,进而作出一定的历史评价,无疑是极有学术价值的。     

A semiparametric additive rate model for a modulated renewal process

Recurrent event data from a long single realization are widely encountered in point process applications. Modeling and analyzing such data are different from those for independent and identical short sequences, and the development of statistical methods requires careful consideration of the underlying dependence structure of the long single sequence. In this paper, we propose a semiparametric additive rate model for a modulated renewal process, and develop an estimating equation approach for the model parameters. The asymptotic properties of the resulting estimators are established by applying the limit theory for stationary mixing sequences. A block-based bootstrap procedure is presented for the variance estimation. Simulation studies are conducted to assess the finite-sample performance of the proposed estimators. An application to a data set from a cardiovascular mortality study is provided.     

A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events

Lifetime Data Analysis - Recurrent event data with a terminal event commonly arise in longitudinal follow-up studies. We use a weighted composite endpoint of all recurrent and terminal events to...     

The Civic Orientation and Political Assimilation of Latino Immigrant Youth

ABSTRACT

In recent decades, the rapid and unprecedented expansion of the Latino immigrant population has dramatically reshaped the face of American society. Unfortunately, current scholarship on this topic largely overlooks a key cohort: adolescent and young adult Latino immigrants. Our lack of understanding regarding the political inclinations of this population is highly problematic if we wish to know where Latino politics is headed in the coming decades. Data from The National Longitudinal Study of Adolescent to Adult Health are used to systematically explore and test the core assumptions of several competing assimilation theories applied to Latino immigrant youths. Bivariate analyses suggest that young Hispanic immigrants lag behind their non-Latino and Black and White peers in electoral participation and political partisanship, and minimal differences are noted in commitment to key civic orientations. However, regression analyses that include controls for SES and other contextual variables in most cases reveal no differences between young Latino immigrants and their peers in their commitment to political engagement and crucial civic values. On the whole, our findings largely confirm the expectations of mainline assimilation theory and suggest young Latino immigrants are trending toward integration into the national civic community.     

Joint modeling and estimation for longitudinal data with informative observation and terminal event times

ABSTRACT

In many longitudinal studies, there may exist informative observation times and a dependent terminal event that stops the follow-up. In this paper, we propose a joint model for analysis of longitudinal data with informative observation times and a dependent terminal event via two latent variables. Estimation procedures are developed for parameter estimation, and asymptotic properties of the proposed estimators are derived. Simulation studies demonstrate that the proposed method performs well for practical settings. An application to a bladder cancer study is illustrated.     

Regression analysis for a summed missing data problem under an outcome‐dependent sampling scheme

In this paper, we consider a regression analysis for a missing data problem in which the variables of primary interest are unobserved under a general biased sampling scheme, an outcome‐dependent sampling (ODS) design. We propose a semiparametric empirical likelihood method for accessing the association between a continuous outcome response and unobservable interesting factors. Simulation study results show that ODS design can produce more efficient estimators than the simple random design of the same sample size. We demonstrate the proposed approach with a data set from an environmental study for the genetic effects on human lung function in COPD smokers. The Canadian Journal of Statistics 40: 282–303; 2012 © 2012 Statistical Society of Canada